Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

5 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00
Alibaba

Qwen2.5-Coder 32B Instruct

$39.82 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Max Context:132.1K
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 3 common benchmarks

OpenAI

GPT-4 Turbo

+7.1%
Average Score:82.1%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:75.0%

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

code
+28.9%
87.1%
math
+6.4%
80.5%
general
+12.0%
73.5%
Alibaba

Qwen2.5-Coder 32B Instruct

code
58.2%
math
74.2%
general
61.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
OpenAI

GPT-4 Turbo

+7.1%
Avg Score:82.1%
Providers:2
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:75.0%
Providers:4